Literature DB >> 33140646

Evolution of Novartis' Small Molecule Screening Deck Design.

Ansgar Schuffenhauer1, Nadine Schneider1, Samuel Hintermann1, Douglas Auld2, Jutta Blank1, Simona Cotesta1, Caroline Engeloch1, Nikolas Fechner1, Christoph Gaul1, Jerome Giovannoni1, Johanna Jansen3, John Joslin4, Philipp Krastel1, Eugen Lounkine2, John Manchester2, Lauren G Monovich2, Anna Paola Pelliccioli1, Manuel Schwarze1, Michael D Shultz2, Nikolaus Stiefl1, Daniel K Baeschlin1.   

Abstract

This article summarizes the evolution of the screening deck at the Novartis Institutes for BioMedical Research (NIBR). Historically, the screening deck was an assembly of all available compounds. In 2015, we designed a first deck to facilitate access to diverse subsets with optimized properties. We allocated the compounds as plated subsets on a 2D grid with property based ranking in one dimension and increasing structural redundancy in the other. The learnings from the 2015 screening deck were applied to the design of a next generation in 2019. We found that using traditional leadlikeness criteria (mainly MW, clogP) reduces the hit rates of attractive chemical starting points in subset screening. Consequently, the 2019 deck relies on solubility and permeability to select preferred compounds. The 2019 design also uses NIBR's experimental assay data and inferred biological activity profiles in addition to structural diversity to define redundancy across the compound sets.

Year:  2020        PMID: 33140646     DOI: 10.1021/acs.jmedchem.0c01332

Source DB:  PubMed          Journal:  J Med Chem        ISSN: 0022-2623            Impact factor:   7.446


  5 in total

1.  The Growing Importance of Chirality in 3D Chemical Space Exploration and Modern Drug Discovery Approaches for Hit-ID: Topical Innovations.

Authors:  Ilaria Proietti Silvestri; Paul J J Colbon
Journal:  ACS Med Chem Lett       Date:  2021-07-16       Impact factor: 4.632

2.  Transformer-based molecular optimization beyond matched molecular pairs.

Authors:  Jiazhen He; Eva Nittinger; Christian Tyrchan; Werngard Czechtizky; Atanas Patronov; Esben Jannik Bjerrum; Ola Engkvist
Journal:  J Cheminform       Date:  2022-03-28       Impact factor: 5.514

3.  On drug discovery against infectious diseases and academic medicinal chemistry contributions.

Authors:  Yves L Janin
Journal:  Beilstein J Org Chem       Date:  2022-09-29       Impact factor: 2.544

4.  Accelerating high-throughput virtual screening through molecular pool-based active learning.

Authors:  David E Graff; Eugene I Shakhnovich; Connor W Coley
Journal:  Chem Sci       Date:  2021-04-29       Impact factor: 9.825

5.  Splitting chemical structure data sets for federated privacy-preserving machine learning.

Authors:  Jaak Simm; Lina Humbeck; Adam Zalewski; Noe Sturm; Wouter Heyndrickx; Yves Moreau; Bernd Beck; Ansgar Schuffenhauer
Journal:  J Cheminform       Date:  2021-12-07       Impact factor: 5.514

  5 in total

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